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PANORAMA: Panoptic Grounded Captioning via Mask Proposal Selection

The paper introduces PANORAMA, a vision-language model that improves image captioning by grounding each phrase in pixel-level masks. It addresses the challenge of associating captions with image pixels through a new benchmark, PanoCaps, and a phrase-mask matching protocol. Experiments show it produces accurate segmentations and consistent captions.

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PublishedSeptember 16, 2026Sara Pieri, Evangelos Kazakos, Shizhe Chen
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This approach improves the accuracy of image captioning by ensuring each described object is correctly linked to its corresponding image region, useful for applications requiring precise visual understanding.

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